Whether you’re creating year-to-date sales measures or complex product ranking logic, Copilot DAX Power BI helps you get started faster while also giving you the ability to explore and refine what it generates.
If you’re just getting started with Power BI or looking to sharpen your skills further, consider enrolling in structured Power BI training from Data Bear.
Setting Up Copilot in Power BI
To use Copilot for DAX writing, you need to meet a few prerequisites:
Requirements:
- You must be connected to a Microsoft Fabric capacity. Even the entry-level F2 SKU supports this feature.
- Free trials currently do not support Copilot functionality.
- You must be using the DAX Query View in Power BI Desktop.
Once inside the DAX Query View, press Ctrl + I or click the Copilot icon to start using Copilot.
Writing DAX with Copilot: Examples
Example 1: Year-To-Date Sales
Prompt:
Create a measure that returns year-to-date sales
Copilot automatically generates a measure using the TOTALYTD function. Since this is embedded in your data model, Copilot understands your table structure and relationships, making its suggestions highly contextual.
You can evaluate the result, ask Copilot to explain the logic, and add the measure directly to your model.
Example 2: Fiscal Year-To-Date Sales
Prompt:
Create a measure that returns year-to-date sales for a fiscal year ending on 06/30
Copilot recognizes the custom fiscal year requirement and adds the correct optional parameter to the TOTALYTD function. This small adjustment ensures the measure aligns with non-calendar fiscal reporting periods.
Example 3: Top 5 and Bottom 10 Product Sales
Prompt:
Create a measure that returns total sales for the top 5 and bottom 10 products
Copilot generates a DAX measure that:
- Uses variables to retrieve top and bottom products
- Applies
SUMXto calculate total sales for the selected products - Combines results using virtual tables
If you’re unfamiliar with parts of the code, simply ask Copilot to explain specific functions like SUMX, which can be helpful for learning and validation.
The Importance of Validating AI-Generated DAX
While Copilot is powerful, it is not infallible. You must review and validate the DAX it generates, especially in more complex business scenarios. Copilot may offer different variations of correct logic, but it could also generate incorrect or inefficient queries depending on context.
Incorrect DAX could lead to reporting errors, which may go unnoticed until they impact decision-making at an executive level. Always test your measures thoroughly.
Best Practices for Using Copilot with DAX
- Understand the generated code before adding it to your model.
- Use the “Explain” feature to break down complex logic.
- Begin with simple prompts to build trust with the tool.
- Compare Copilot’s results with known DAX patterns.
- Validate output with test cases and visuals.
Learn More with Structured Training
For a deeper understanding of Power BI and DAX, check out Data Bear’s Power BI training. Whether you’re a beginner or looking to master more advanced scenarios, formal training can accelerate your learning and help you apply best practices with confidence.
Final Thoughts
Copilot is a valuable assistant in the Power BI development process. It accelerates DAX writing, reduces syntax errors, and helps users better understand functions and patterns. However, it should be viewed as a support tool, not a replacement for a solid understanding of DAX fundamentals.
